Figure 5. Training and testing procedure of the ensemble classifiers for P300-based BCI.

Training data flows are represented by blue lines and test data flows are illustrated by red lines. The training data are divided into overlapped partitions (see Figure 6). One of three conditions for dimension reduction (DR) is applied to each partitioned data : the stepwise method, PCA, or none. Then, LDA weak learners are trained on these dimension-reduced data. The training data are used only for the training of weak learners as illustrated by blue lines. After the training session, the test data are processed to compute scores for decision making.